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We are looking for a Machine Learning Engineer/Solution Architect with experience in deploying Machine Learning (ML), Deep Learning (DL) models on prem and in the cloud.
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Similar Jobs (5) Senior Platform Software Engineer, AI Server - GPU locations 2 Locations time type Full time posted on Posted 9 Days Ago Principal Platform Software Engineer - Platform Architect locations 2 Locations time type Full time posted on Posted 16 Days Ago Senior Deep Learning Systems Software Engineer - AI Infrastructure locations 2 Locations time type Full time posted on Posted 30+ Days Ago.
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We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. Challenges you will own Technical leadership of at least one company wide programDeveloping and implementing machine learning models and robotics systems to enhance the capabilities of our Autonomous Vehicle stack.
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Northrop Grumman Mission Systems is seeking a Principal / Sr. Principal Magnetic Bearing Lead Engineer based out of Sunnyvale, CA. This role is part of the advanced development team that will be developing next generation technology and architecture for propulsion and power generation machinery for US Navy submarines.
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We are now hiring a Systems Software Engineer for the Tegra Solutions Engineering team focusing on Camera, Multimedia and Graphics for the self-driving platform architectures. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
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Foundation Model Infrastructure team, within Machine Learning Platform Technologies organization is the back-bone of Apple Intelligence. Machine Learning and AI. Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models.
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Stay informed and integrate latest statistical modelling, machine learning, deep learning, recommender system and/or artificial intelligence trends to improve and enhance modelling stack and improve business metrics and customer experience.
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Ability to innovate, as proven by a track record of software artifacts or academic publications in applied machine learning. Extensive experience with scientific libraries in Python (numba, pandas) and machine learning tools and frameworks (scikit-learn, tensorflow, torch, etc.
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As a Senior Software Engineer in Test, you will play a critical role in ensuring the quality and reliability of our customer facing web products, with a particular focus on JavaScript-based applications using React, next.
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Model deployment and serving technologies, such as Triton inference services, ONNX, Torchscript, Docker, or Kubernetes for serving machine learning models in production environments. Experience with Triton Inference Server, inferring Deep Learning models and machine learning.
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You'll be partnering with product management, user experience, customer success, machine learning and other engineering teams to identify, define and build elegant solutions.
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Conduct research to conceptualize, design, and/or implement innovative solutions for autonomous driving including but not limited to applications of artificial intelligence, machine learning, optimization, and probabilistic robotics.
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Staff Applied Machine Learning Software Engineer Generative AI. You will work on next generation framework software, guiding other senior developers and domain experts.
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Academic and commercial groups around the world are powering a revolution in artificial intelligence using deep learning techniques running on NVIDIA GPUs, enabling breakthroughs in problems from image classification to speech recognition to natural language processing and autonomous vehicles.
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Supermicro is seeking a top-notch hands-on Software Engineer who will develop user interfaces using Django and API calls (Redfish, and other Open source projects). Job Segment: Cloud, Test Engineer, Embedded, Software Engineer, Testing, Technology, Engineering.
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